Alzheimer’s Screening Takes A Leap With Japan’s Machine Learning Model

In a groundbreaking development, Japan-based Oita University and pharmaceutical company Eisai Co. have unveiled the world’s inaugural machine learning model designed to predict the accumulation of amyloid beta (Aβ) in the brain, a pivotal pathological factor in Alzheimer’s disease (AD). This model leverages data collected from wristband sensors to easily screen brain Aβ accumulation using biological and lifestyle data. The effectiveness of therapeutic drugs targeting Aβ hinges on the early detection of Aβ accumulation in individuals with mild cognitive impairment, ideally prior to the manifestation of symptoms. This machine learning study represents a pioneering approach centering on “biological data” and “lifestyle data” to predict brain Aβ accumulation.